EDA report on AirBnB Venezia dataset

Dataset statistics

Number of variables	57
Number of observations	6029
Missing cells	2087
Missing cells (%)	0.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.6 MiB
Average record size in memory	456.0 B

Variable types

Categorical	36
Numeric	21

Alerts

`accommodates` is highly correlated with `bedrooms` and 1 other fields	High correlation
`bedrooms` is highly correlated with `accommodates` and 2 other fields	High correlation
`beds` is highly correlated with `accommodates` and 1 other fields	High correlation
`availability_30` is highly correlated with `availability_365`	High correlation
`availability_365` is highly correlated with `availability_30`	High correlation
`number_of_reviews` is highly correlated with `reviews_per_month` and 1 other fields	High correlation
`number_of_reviews_ltm` is highly correlated with `number_of_reviews_l30d` and 2 other fields	High correlation
`number_of_reviews_l30d` is highly correlated with `number_of_reviews_ltm` and 2 other fields	High correlation
`review_scores_rating` is highly correlated with `review_scores_accuracy` and 1 other fields	High correlation
`review_scores_accuracy` is highly correlated with `review_scores_rating` and 1 other fields	High correlation
`review_scores_cleanliness` is highly correlated with `review_scores_rating` and 1 other fields	High correlation
`reviews_per_month` is highly correlated with `number_of_reviews` and 2 other fields	High correlation
`host_since_years` is highly correlated with `first_review_years`	High correlation
`first_review_years` is highly correlated with `number_of_reviews` and 1 other fields	High correlation
`last_review_years` is highly correlated with `number_of_reviews_ltm` and 1 other fields	High correlation
`bathrooms_count` is highly correlated with `bedrooms`	High correlation
`amenity_hot_water` is highly correlated with `amenity_dishes_and_silverware` and 1 other fields	High correlation
`amenity_carbon_monoxide_alarm` is highly correlated with `amenity_smoke_alarm`	High correlation
`amenity_cooking_basics` is highly correlated with `amenity_coffee_maker` and 5 other fields	High correlation
`amenity_smoke_alarm` is highly correlated with `amenity_carbon_monoxide_alarm`	High correlation
`amenity_coffee_maker` is highly correlated with `amenity_cooking_basics` and 2 other fields	High correlation
`amenity_bed_linens` is highly correlated with `amenity_extra_pillows_and_blankets`	High correlation
`amenity_oven` is highly correlated with `amenity_cooking_basics` and 3 other fields	High correlation
`amenity_extra_pillows_and_blankets` is highly correlated with `amenity_bed_linens`	High correlation
`amenity_stove` is highly correlated with `amenity_cooking_basics` and 3 other fields	High correlation
`amenity_dishes_and_silverware` is highly correlated with `amenity_hot_water` and 6 other fields	High correlation
`amenity_refrigerator` is highly correlated with `amenity_hot_water` and 6 other fields	High correlation
`amenity_kitchen` is highly correlated with `amenity_cooking_basics`	High correlation
`amenity_microwave` is highly correlated with `amenity_dishes_and_silverware` and 1 other fields	High correlation
`host_response_rate` is highly correlated with `host_acceptance_rate`	High correlation
`host_acceptance_rate` is highly correlated with `host_response_rate`	High correlation
`accommodates` is highly correlated with `bedrooms` and 2 other fields	High correlation
`bedrooms` is highly correlated with `accommodates` and 2 other fields	High correlation
`beds` is highly correlated with `accommodates` and 1 other fields	High correlation
`price` is highly correlated with `bathrooms_count`	High correlation
`number_of_reviews` is highly correlated with `reviews_per_month` and 1 other fields	High correlation
`number_of_reviews_ltm` is highly correlated with `number_of_reviews_l30d` and 1 other fields	High correlation
`number_of_reviews_l30d` is highly correlated with `number_of_reviews_ltm` and 1 other fields	High correlation
`review_scores_rating` is highly correlated with `review_scores_accuracy` and 1 other fields	High correlation
`review_scores_accuracy` is highly correlated with `review_scores_rating` and 1 other fields	High correlation
`review_scores_cleanliness` is highly correlated with `review_scores_rating` and 1 other fields	High correlation
`reviews_per_month` is highly correlated with `number_of_reviews` and 2 other fields	High correlation
`host_since_years` is highly correlated with `first_review_years`	High correlation
`first_review_years` is highly correlated with `number_of_reviews` and 1 other fields	High correlation
`bathrooms_count` is highly correlated with `accommodates` and 2 other fields	High correlation
`amenity_hot_water` is highly correlated with `amenity_dishes_and_silverware` and 1 other fields	High correlation
`amenity_carbon_monoxide_alarm` is highly correlated with `amenity_smoke_alarm`	High correlation
`amenity_cooking_basics` is highly correlated with `amenity_coffee_maker` and 5 other fields	High correlation
`amenity_smoke_alarm` is highly correlated with `amenity_carbon_monoxide_alarm`	High correlation
`amenity_coffee_maker` is highly correlated with `amenity_cooking_basics` and 2 other fields	High correlation
`amenity_bed_linens` is highly correlated with `amenity_extra_pillows_and_blankets`	High correlation
`amenity_oven` is highly correlated with `amenity_cooking_basics` and 3 other fields	High correlation
`amenity_extra_pillows_and_blankets` is highly correlated with `amenity_bed_linens`	High correlation
`amenity_stove` is highly correlated with `amenity_cooking_basics` and 3 other fields	High correlation
`amenity_dishes_and_silverware` is highly correlated with `amenity_hot_water` and 6 other fields	High correlation
`amenity_refrigerator` is highly correlated with `amenity_hot_water` and 6 other fields	High correlation
`amenity_kitchen` is highly correlated with `amenity_cooking_basics`	High correlation
`amenity_microwave` is highly correlated with `amenity_dishes_and_silverware` and 1 other fields	High correlation
`accommodates` is highly correlated with `bedrooms` and 1 other fields	High correlation
`bedrooms` is highly correlated with `accommodates` and 1 other fields	High correlation
`beds` is highly correlated with `accommodates` and 1 other fields	High correlation
`number_of_reviews` is highly correlated with `reviews_per_month`	High correlation
`number_of_reviews_ltm` is highly correlated with `number_of_reviews_l30d`	High correlation
`number_of_reviews_l30d` is highly correlated with `number_of_reviews_ltm`	High correlation
`review_scores_rating` is highly correlated with `review_scores_accuracy` and 1 other fields	High correlation
`review_scores_accuracy` is highly correlated with `review_scores_rating` and 1 other fields	High correlation
`review_scores_cleanliness` is highly correlated with `review_scores_rating` and 1 other fields	High correlation
`reviews_per_month` is highly correlated with `number_of_reviews`	High correlation
`amenity_hot_water` is highly correlated with `amenity_dishes_and_silverware` and 1 other fields	High correlation
`amenity_carbon_monoxide_alarm` is highly correlated with `amenity_smoke_alarm`	High correlation
`amenity_cooking_basics` is highly correlated with `amenity_coffee_maker` and 5 other fields	High correlation
`amenity_smoke_alarm` is highly correlated with `amenity_carbon_monoxide_alarm`	High correlation
`amenity_coffee_maker` is highly correlated with `amenity_cooking_basics` and 2 other fields	High correlation
`amenity_bed_linens` is highly correlated with `amenity_extra_pillows_and_blankets`	High correlation
`amenity_oven` is highly correlated with `amenity_cooking_basics` and 3 other fields	High correlation
`amenity_extra_pillows_and_blankets` is highly correlated with `amenity_bed_linens`	High correlation
`amenity_stove` is highly correlated with `amenity_cooking_basics` and 3 other fields	High correlation
`amenity_dishes_and_silverware` is highly correlated with `amenity_hot_water` and 6 other fields	High correlation
`amenity_refrigerator` is highly correlated with `amenity_hot_water` and 6 other fields	High correlation
`amenity_kitchen` is highly correlated with `amenity_cooking_basics`	High correlation
`amenity_microwave` is highly correlated with `amenity_dishes_and_silverware` and 1 other fields	High correlation
`amenity_dishes_and_silverware` is highly correlated with `amenity_stove` and 6 other fields	High correlation
`amenity_stove` is highly correlated with `amenity_dishes_and_silverware` and 3 other fields	High correlation
`amenity_hot_water` is highly correlated with `amenity_dishes_and_silverware` and 1 other fields	High correlation
`amenity_refrigerator` is highly correlated with `amenity_dishes_and_silverware` and 6 other fields	High correlation
`amenity_smoke_alarm` is highly correlated with `amenity_carbon_monoxide_alarm`	High correlation
`room_type` is highly correlated with `amenity_kitchen`	High correlation
`amenity_carbon_monoxide_alarm` is highly correlated with `amenity_smoke_alarm`	High correlation
`amenity_oven` is highly correlated with `amenity_dishes_and_silverware` and 3 other fields	High correlation
`amenity_extra_pillows_and_blankets` is highly correlated with `amenity_bed_linens`	High correlation
`amenity_microwave` is highly correlated with `amenity_dishes_and_silverware` and 1 other fields	High correlation
`amenity_cooking_basics` is highly correlated with `amenity_dishes_and_silverware` and 5 other fields	High correlation
`amenity_coffee_maker` is highly correlated with `amenity_dishes_and_silverware` and 2 other fields	High correlation
`amenity_bed_linens` is highly correlated with `amenity_extra_pillows_and_blankets`	High correlation
`amenity_kitchen` is highly correlated with `room_type` and 1 other fields	High correlation
`host_response_time` is highly correlated with `host_response_rate` and 2 other fields	High correlation
`host_response_rate` is highly correlated with `host_response_time` and 2 other fields	High correlation
`host_acceptance_rate` is highly correlated with `host_response_time` and 3 other fields	High correlation
`host_is_superhost` is highly correlated with `review_scores_rating`	High correlation
`host_total_listings_count` is highly correlated with `host_response_time` and 3 other fields	High correlation
`room_type` is highly correlated with `amenity_cooking_basics` and 5 other fields	High correlation
`accommodates` is highly correlated with `bedrooms` and 2 other fields	High correlation
`bedrooms` is highly correlated with `accommodates` and 2 other fields	High correlation
`beds` is highly correlated with `accommodates` and 1 other fields	High correlation
`price` is highly correlated with `accommodates` and 1 other fields	High correlation
`availability_30` is highly correlated with `availability_365`	High correlation
`availability_365` is highly correlated with `availability_30`	High correlation
`number_of_reviews` is highly correlated with `reviews_per_month` and 1 other fields	High correlation
`number_of_reviews_ltm` is highly correlated with `number_of_reviews_l30d` and 1 other fields	High correlation
`number_of_reviews_l30d` is highly correlated with `number_of_reviews_ltm` and 1 other fields	High correlation
`review_scores_rating` is highly correlated with `host_is_superhost` and 2 other fields	High correlation
`review_scores_accuracy` is highly correlated with `review_scores_rating` and 1 other fields	High correlation
`review_scores_cleanliness` is highly correlated with `review_scores_rating` and 2 other fields	High correlation
`instant_bookable` is highly correlated with `host_acceptance_rate`	High correlation
`reviews_per_month` is highly correlated with `number_of_reviews` and 2 other fields	High correlation
`description_host` is highly correlated with `host_since_years`	High correlation
`description_neighbourhood` is highly correlated with `description_cleaned_length`	High correlation
`host_since_years` is highly correlated with `host_total_listings_count` and 2 other fields	High correlation
`first_review_years` is highly correlated with `number_of_reviews` and 2 other fields	High correlation
`last_review_years` is highly correlated with `review_scores_cleanliness` and 1 other fields	High correlation
`amenity_hot_water` is highly correlated with `amenity_cooking_basics` and 7 other fields	High correlation
`amenity_carbon_monoxide_alarm` is highly correlated with `amenity_smoke_alarm`	High correlation
`amenity_cooking_basics` is highly correlated with `room_type` and 11 other fields	High correlation
`amenity_workspace` is highly correlated with `amenity_hangers`	High correlation
`amenity_smoke_alarm` is highly correlated with `amenity_carbon_monoxide_alarm`	High correlation
`amenity_coffee_maker` is highly correlated with `amenity_cooking_basics` and 6 other fields	High correlation
`amenity_iron` is highly correlated with `amenity_washer`	High correlation
`amenity_bed_linens` is highly correlated with `amenity_hot_water` and 5 other fields	High correlation
`amenity_fire_extinguisher` is highly correlated with `amenity_first_aid_kit`	High correlation
`amenity_oven` is highly correlated with `amenity_cooking_basics` and 6 other fields	High correlation
`amenity_extra_pillows_and_blankets` is highly correlated with `amenity_hot_water` and 6 other fields	High correlation
`amenity_stove` is highly correlated with `room_type` and 10 other fields	High correlation
`amenity_first_aid_kit` is highly correlated with `amenity_fire_extinguisher`	High correlation
`amenity_tv` is highly correlated with `room_type`	High correlation
`amenity_washer` is highly correlated with `room_type` and 4 other fields	High correlation
`amenity_dishes_and_silverware` is highly correlated with `room_type` and 10 other fields	High correlation
`amenity_hangers` is highly correlated with `amenity_hot_water` and 1 other fields	High correlation
`amenity_refrigerator` is highly correlated with `amenity_hot_water` and 9 other fields	High correlation
`amenity_kitchen` is highly correlated with `room_type` and 6 other fields	High correlation
`amenity_microwave` is highly correlated with `amenity_hot_water` and 5 other fields	High correlation
`description_cleaned_length` is highly correlated with `description_neighbourhood`	High correlation
`host_response_rate` has 1045 (17.3%) missing values	Missing
`host_acceptance_rate` has 1042 (17.3%) missing values	Missing
`host_response_rate` has 92 (1.5%) zeros	Zeros
`host_acceptance_rate` has 175 (2.9%) zeros	Zeros
`host_total_listings_count` has 312 (5.2%) zeros	Zeros
`beds` has 127 (2.1%) zeros	Zeros
`availability_30` has 1469 (24.4%) zeros	Zeros
`availability_365` has 621 (10.3%) zeros	Zeros
`number_of_reviews_ltm` has 2280 (37.8%) zeros	Zeros
`number_of_reviews_l30d` has 3479 (57.7%) zeros	Zeros

Reproduction

Analysis started	2021-10-26 00:09:53.078059
Analysis finished	2021-10-26 00:12:37.329789
Duration	2 minutes and 44.25 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

host_response_time
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

within_hour	4160
missing	1045
within_few_hours	424
within_day	272
few_days	128

Length

Max length	16
Median length	11
Mean length	10.5495107
Min length	7

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	within_day
2nd row	within_day
3rd row	within_day
4th row	within_hour
5th row	within_hour

Common Values

Value	Count	Frequency (%)
within_hour	4160	69.0%
missing	1045	17.3%
within_few_hours	424	7.0%
within_day	272	4.5%
few_days	128	2.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
within_hour	4160	69.0%
missing	1045	17.3%
within_few_hours	424	7.0%
within_day	272	4.5%
few_days	128	2.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

host_response_rate
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	42
Distinct (%)	0.8%
Missing	1045
Missing (%)	17.3%
Infinite	0
Infinite (%)	0.0%
Mean	0.9546107544

Minimum	0
Maximum	1
Zeros	92
Zeros (%)	1.5%
Negative	0
Negative (%)	0.0%
Memory size	47.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0.75
Q1	1
median	1
Q3	1
95-th percentile	1
Maximum	1
Range	1
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.158123938
Coefficient of variation (CV)	0.1656423179
Kurtosis	24.22508746
Mean	0.9546107544
Median Absolute Deviation (MAD)	0
Skewness	-4.812222111
Sum	4757.78
Variance	0.02500317978
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
1	3786	62.8%
0.98	310	5.1%
0.99	122	2.0%
0.9	101	1.7%
0	92	1.5%
0.97	52	0.9%
0.79	44	0.7%
0.96	43	0.7%
0.92	38	0.6%
0.8	36	0.6%
Other values (32)	360	6.0%
(Missing)	1045	17.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	92	1.5%
0.09	2	< 0.1%
0.11	1	< 0.1%
0.17	1	< 0.1%
0.2	1	< 0.1%
0.29	1	< 0.1%
0.3	2	< 0.1%
0.33	9	0.1%
0.38	7	0.1%
0.4	11	0.2%

Value	Count	Frequency (%)
1	3786	62.8%
0.99	122	2.0%
0.98	310	5.1%
0.97	52	0.9%
0.96	43	0.7%
0.95	30	0.5%
0.94	28	0.5%
0.93	16	0.3%
0.92	38	0.6%
0.91	12	0.2%

host_acceptance_rate
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	68
Distinct (%)	1.4%
Missing	1042
Missing (%)	17.3%
Infinite	0
Infinite (%)	0.0%
Mean	0.9251894927

Minimum	0
Maximum	1
Zeros	175
Zeros (%)	2.9%
Negative	0
Negative (%)	0.0%
Memory size	47.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0.5
Q1	0.98
median	1
Q3	1
95-th percentile	1
Maximum	1
Range	1
Interquartile range (IQR)	0.02

Descriptive statistics

Standard deviation	0.2078186402
Coefficient of variation (CV)	0.2246227847
Kurtosis	12.11506862
Mean	0.9251894927
Median Absolute Deviation (MAD)	0
Skewness	-3.547201595
Sum	4613.92
Variance	0.04318858723
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	3106	51.5%
0.99	497	8.2%
0.98	205	3.4%
0	175	2.9%
0.97	123	2.0%
0.95	87	1.4%
0.96	65	1.1%
0.66	57	0.9%
0.75	51	0.8%
0.94	50	0.8%
Other values (58)	571	9.5%
(Missing)	1042	17.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	175	2.9%
0.13	1	< 0.1%
0.14	1	< 0.1%
0.15	1	< 0.1%
0.16	1	< 0.1%
0.17	7	0.1%
0.19	2	< 0.1%
0.2	2	< 0.1%
0.23	2	< 0.1%
0.25	3	< 0.1%

Value	Count	Frequency (%)
1	3106	51.5%
0.99	497	8.2%
0.98	205	3.4%
0.97	123	2.0%
0.96	65	1.1%
0.95	87	1.4%
0.94	50	0.8%
0.93	33	0.5%
0.92	42	0.7%
0.91	36	0.6%

host_is_superhost
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

0	3544
1	2485

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	3544	58.8%
1	2485	41.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	3544	58.8%
1	2485	41.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

host_total_listings_count
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	48
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.36540056

Minimum	0
Maximum	129
Zeros	312
Zeros (%)	5.2%
Negative	0
Negative (%)	0.0%
Memory size	47.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	8
95-th percentile	87
Maximum	129
Range	129
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	24.19851276
Coefficient of variation (CV)	2.129138575
Kurtosis	10.75779575
Mean	11.36540056
Median Absolute Deviation (MAD)	2
Skewness	3.328603193
Sum	68522
Variance	585.5680197
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=48)

Value	Count	Frequency (%)
1	1645	27.3%
2	840	13.9%
3	607	10.1%
4	472	7.8%
0	312	5.2%
5	247	4.1%
7	202	3.4%
6	195	3.2%
8	183	3.0%
9	124	2.1%
Other values (38)	1202	19.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	312	5.2%
1	1645	27.3%
2	840	13.9%
3	607	10.1%
4	472	7.8%
5	247	4.1%
6	195	3.2%
7	202	3.4%
8	183	3.0%
9	124	2.1%

Value	Count	Frequency (%)
129	10	0.2%
124	103	1.7%
114	4	0.1%
104	36	0.6%
100	34	0.6%
89	59	1.0%
87	57	0.9%
82	1	< 0.1%
77	8	0.1%
61	18	0.3%

host_identity_verified
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

1	5246
0	783

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	5246	87.0%
0	783	13.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	5246	87.0%
0	783	13.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

room_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

entire_place	4754
private_room	1083
hotel_room	170
shared_room	22

Length

Max length	12
Median length	12
Mean length	11.93995688
Min length	10

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	entire_place
2nd row	entire_place
3rd row	entire_place
4th row	private_room
5th row	entire_place

Common Values

Value	Count	Frequency (%)
entire_place	4754	78.9%
private_room	1083	18.0%
hotel_room	170	2.8%
shared_room	22	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
entire_place	4754	78.9%
private_room	1083	18.0%
hotel_room	170	2.8%
shared_room	22	0.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

accommodates
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	15
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.907944933

Minimum	1
Maximum	15
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.2 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	4
Q3	5
95-th percentile	7
Maximum	15
Range	14
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.793407036
Coefficient of variation (CV)	0.4589130777
Kurtosis	2.401037797
Mean	3.907944933
Median Absolute Deviation (MAD)	1
Skewness	1.114189248
Sum	23561
Variance	3.216308799
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
4	1916	31.8%
2	1583	26.3%
3	696	11.5%
6	686	11.4%
5	648	10.7%
8	149	2.5%
7	125	2.1%
1	119	2.0%
10	44	0.7%
9	34	0.6%
Other values (5)	29	0.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	119	2.0%
2	1583	26.3%
3	696	11.5%
4	1916	31.8%
5	648	10.7%
6	686	11.4%
7	125	2.1%
8	149	2.5%
9	34	0.6%
10	44	0.7%

Value	Count	Frequency (%)
15	1	< 0.1%
14	5	0.1%
13	1	< 0.1%
12	15	0.2%
11	7	0.1%
10	44	0.7%
9	34	0.6%
8	149	2.5%
7	125	2.1%
6	686	11.4%

bedrooms
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

1.0	3283
2.0	2046
3.0	586
4.0	98
5.0	16

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	2.0
3rd row	2.0
4th row	1.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
1.0	3283	54.5%
2.0	2046	33.9%
3.0	586	9.7%
4.0	98	1.6%
5.0	16	0.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	3283	54.5%
2.0	2046	33.9%
3.0	586	9.7%
4.0	98	1.6%
5.0	16	0.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

beds
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	9
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.432244153

Minimum	0
Maximum	8
Zeros	127
Zeros (%)	2.1%
Negative	0
Negative (%)	0.0%
Memory size	47.2 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	5
Maximum	8
Range	8
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.452611984
Coefficient of variation (CV)	0.5972311545
Kurtosis	0.8508171559
Mean	2.432244153
Median Absolute Deviation (MAD)	1
Skewness	0.9437347023
Sum	14664
Variance	2.110081575
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
1	1779	29.5%
2	1616	26.8%
3	1231	20.4%
4	756	12.5%
5	288	4.8%
6	160	2.7%
0	127	2.1%
7	40	0.7%
8	32	0.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	127	2.1%
1	1779	29.5%
2	1616	26.8%
3	1231	20.4%
4	756	12.5%
5	288	4.8%
6	160	2.7%
7	40	0.7%
8	32	0.5%

Value	Count	Frequency (%)
8	32	0.5%
7	40	0.7%
6	160	2.7%
5	288	4.8%
4	756	12.5%
3	1231	20.4%
2	1616	26.8%
1	1779	29.5%
0	127	2.1%

price
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	391
Distinct (%)	6.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	122.4203019

Minimum	9
Maximum	836
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.2 KiB

Quantile statistics

Minimum	9
5-th percentile	43
Q1	75
median	100
Q3	143
95-th percentile	271
Maximum	836
Range	827
Interquartile range (IQR)	68

Descriptive statistics

Standard deviation	81.35968066
Coefficient of variation (CV)	0.6645930406
Kurtosis	12.76069599
Mean	122.4203019
Median Absolute Deviation (MAD)	31
Skewness	2.844811922
Sum	738072
Variance	6619.397637
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	202	3.4%
120	170	2.8%
80	160	2.7%
90	155	2.6%
70	124	2.1%
130	114	1.9%
110	112	1.9%
60	102	1.7%
150	92	1.5%
50	90	1.5%
Other values (381)	4708	78.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
9	1	< 0.1%
10	1	< 0.1%
11	1	< 0.1%
13	1	< 0.1%
14	1	< 0.1%
16	2	< 0.1%
17	5	0.1%
18	5	0.1%
19	3	< 0.1%
20	11	0.2%

Value	Count	Frequency (%)
836	1	< 0.1%
795	1	< 0.1%
780	2	< 0.1%
778	1	< 0.1%
750	1	< 0.1%
715	1	< 0.1%
678	2	< 0.1%
674	1	< 0.1%
650	3	< 0.1%
608	2	< 0.1%

availability_30
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	31
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.383645712

Minimum	0
Maximum	30
Zeros	1469
Zeros (%)	24.4%
Negative	0
Negative (%)	0.0%
Memory size	47.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	7
Q3	15
95-th percentile	29
Maximum	30
Range	30
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	9.090962095
Coefficient of variation (CV)	0.9688091786
Kurtosis	-0.5018798342
Mean	9.383645712
Median Absolute Deviation (MAD)	7
Skewness	0.7789499786
Sum	56574
Variance	82.64559182
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
0	1469	24.4%
4	294	4.9%
5	252	4.2%
6	233	3.9%
3	225	3.7%
1	225	3.7%
8	218	3.6%
7	207	3.4%
9	201	3.3%
2	201	3.3%
Other values (21)	2504	41.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1469	24.4%
1	225	3.7%
2	201	3.3%
3	225	3.7%
4	294	4.9%
5	252	4.2%
6	233	3.9%
7	207	3.4%
8	218	3.6%
9	201	3.3%

Value	Count	Frequency (%)
30	155	2.6%
29	158	2.6%
28	83	1.4%
27	66	1.1%
26	60	1.0%
25	55	0.9%
24	66	1.1%
23	84	1.4%
22	84	1.4%
21	86	1.4%

availability_365
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	366
Distinct (%)	6.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	210.0968652

Minimum	0
Maximum	365
Zeros	621
Zeros (%)	10.3%
Negative	0
Negative (%)	0.0%
Memory size	47.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	97
median	243
Q3	329
95-th percentile	359
Maximum	365
Range	365
Interquartile range (IQR)	232

Descriptive statistics

Standard deviation	126.7468409
Coefficient of variation (CV)	0.6032781157
Kurtosis	-1.316832134
Mean	210.0968652
Median Absolute Deviation (MAD)	98
Skewness	-0.409169738
Sum	1266674
Variance	16064.76168
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	621	10.3%
365	98	1.6%
364	72	1.2%
339	70	1.2%
217	68	1.1%
309	61	1.0%
330	55	0.9%
329	49	0.8%
338	49	0.8%
363	48	0.8%
Other values (356)	4838	80.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	621	10.3%
1	38	0.6%
2	12	0.2%
3	15	0.2%
4	11	0.2%
5	11	0.2%
6	11	0.2%
7	5	0.1%
8	5	0.1%
9	7	0.1%

Value	Count	Frequency (%)
365	98	1.6%
364	72	1.2%
363	48	0.8%
362	36	0.6%
361	22	0.4%
360	24	0.4%
359	25	0.4%
358	23	0.4%
357	34	0.6%
356	32	0.5%

number_of_reviews
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	426
Distinct (%)	7.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	70.84707248

Minimum	1
Maximum	765
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	8
median	35
Q3	98
95-th percentile	263.6
Maximum	765
Range	764
Interquartile range (IQR)	90

Descriptive statistics

Standard deviation	92.05923251
Coefficient of variation (CV)	1.299407714
Kurtosis	7.081208729
Mean	70.84707248
Median Absolute Deviation (MAD)	31
Skewness	2.305340421
Sum	427137
Variance	8474.902289
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	389	6.5%
3	250	4.1%
2	239	4.0%
4	168	2.8%
5	158	2.6%
7	122	2.0%
6	116	1.9%
9	103	1.7%
8	103	1.7%
15	79	1.3%
Other values (416)	4302	71.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	389	6.5%
2	239	4.0%
3	250	4.1%
4	168	2.8%
5	158	2.6%
6	116	1.9%
7	122	2.0%
8	103	1.7%
9	103	1.7%
10	77	1.3%

Value	Count	Frequency (%)
765	1	< 0.1%
726	1	< 0.1%
715	1	< 0.1%
682	1	< 0.1%
669	1	< 0.1%
643	1	< 0.1%
640	1	< 0.1%
639	1	< 0.1%
617	1	< 0.1%
610	1	< 0.1%

number_of_reviews_ltm
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	81
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.085254603

Minimum	0
Maximum	223
Zeros	2280
Zeros (%)	37.8%
Negative	0
Negative (%)	0.0%
Memory size	47.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	8
95-th percentile	27
Maximum	223
Range	223
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	10.76926815
Coefficient of variation (CV)	1.76973173
Kurtosis	40.51369284
Mean	6.085254603
Median Absolute Deviation (MAD)	1
Skewness	4.245038752
Sum	36688
Variance	115.9771366
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2280	37.8%
1	756	12.5%
2	403	6.7%
3	316	5.2%
4	223	3.7%
5	197	3.3%
6	179	3.0%
7	159	2.6%
8	125	2.1%
10	119	2.0%
Other values (71)	1272	21.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2280	37.8%
1	756	12.5%
2	403	6.7%
3	316	5.2%
4	223	3.7%
5	197	3.3%
6	179	3.0%
7	159	2.6%
8	125	2.1%
9	115	1.9%

Value	Count	Frequency (%)
223	1	< 0.1%
119	1	< 0.1%
110	1	< 0.1%
104	1	< 0.1%
98	1	< 0.1%
91	1	< 0.1%
89	1	< 0.1%
88	1	< 0.1%
82	1	< 0.1%
77	2	< 0.1%

number_of_reviews_l30d
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	18
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.277823851

Minimum	0
Maximum	49
Zeros	3479
Zeros (%)	57.7%
Negative	0
Negative (%)	0.0%
Memory size	47.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	2
95-th percentile	6
Maximum	49
Range	49
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.204750145
Coefficient of variation (CV)	1.725394421
Kurtosis	43.6480162
Mean	1.277823851
Median Absolute Deviation (MAD)	0
Skewness	3.838809933
Sum	7704
Variance	4.8609232
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
0	3479	57.7%
1	838	13.9%
2	533	8.8%
3	368	6.1%
4	285	4.7%
5	181	3.0%
6	128	2.1%
7	97	1.6%
8	49	0.8%
9	28	0.5%
Other values (8)	43	0.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3479	57.7%
1	838	13.9%
2	533	8.8%
3	368	6.1%
4	285	4.7%
5	181	3.0%
6	128	2.1%
7	97	1.6%
8	49	0.8%
9	28	0.5%

Value	Count	Frequency (%)
49	1	< 0.1%
22	3	< 0.1%
16	1	< 0.1%
14	2	< 0.1%
13	6	0.1%
12	8	0.1%
11	7	0.1%
10	15	0.2%
9	28	0.5%
8	49	0.8%

review_scores_rating
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	133
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.703247636

Minimum	2
Maximum	5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.2 KiB

Quantile statistics

Minimum	2
5-th percentile	4
Q1	4.59
median	4.8
Q3	4.93
95-th percentile	5
Maximum	5
Range	3
Interquartile range (IQR)	0.34

Descriptive statistics

Standard deviation	0.3372026231
Coefficient of variation (CV)	0.0716956982
Kurtosis	9.732063718
Mean	4.703247636
Median Absolute Deviation (MAD)	0.15
Skewness	-2.487172429
Sum	28355.88
Variance	0.113705609
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5	964	16.0%
4	171	2.8%
4.5	145	2.4%
4.89	141	2.3%
4.83	139	2.3%
4.75	133	2.2%
4.67	132	2.2%
4.93	132	2.2%
4.86	132	2.2%
4.9	128	2.1%
Other values (123)	3812	63.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	4	0.1%
2.33	3	< 0.1%
2.5	4	0.1%
2.67	2	< 0.1%
3	35	0.6%
3.17	1	< 0.1%
3.2	1	< 0.1%
3.22	1	< 0.1%
3.25	2	< 0.1%
3.29	3	< 0.1%

Value	Count	Frequency (%)
5	964	16.0%
4.99	33	0.5%
4.98	45	0.7%
4.97	95	1.6%
4.96	85	1.4%
4.95	113	1.9%
4.94	120	2.0%
4.93	132	2.2%
4.92	108	1.8%
4.91	122	2.0%

review_scores_accuracy
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	124
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.7813518

Minimum	2
Maximum	5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.2 KiB

Quantile statistics

Minimum	2
5-th percentile	4.25
Q1	4.72
median	4.88
Q3	4.97
95-th percentile	5
Maximum	5
Range	3
Interquartile range (IQR)	0.25

Descriptive statistics

Standard deviation	0.3179725094
Coefficient of variation (CV)	0.06650263832
Kurtosis	19.60171492
Mean	4.7813518
Median Absolute Deviation (MAD)	0.11
Skewness	-3.687751863
Sum	28826.77
Variance	0.1011065167
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5	1206	20.0%
4.96	193	3.2%
4.95	189	3.1%
4.92	180	3.0%
4.93	174	2.9%
4.91	171	2.8%
4.97	171	2.8%
4.88	166	2.8%
4.9	163	2.7%
4.89	159	2.6%
Other values (114)	3257	54.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	9	0.1%
2.33	2	< 0.1%
2.5	4	0.1%
2.67	5	0.1%
2.75	1	< 0.1%
3	31	0.5%
3.14	1	< 0.1%
3.25	2	< 0.1%
3.29	3	< 0.1%
3.33	8	0.1%

Value	Count	Frequency (%)
5	1206	20.0%
4.99	38	0.6%
4.98	120	2.0%
4.97	171	2.8%
4.96	193	3.2%
4.95	189	3.1%
4.94	154	2.6%
4.93	174	2.9%
4.92	180	3.0%
4.91	171	2.8%

review_scores_cleanliness
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	137
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.778002986

Minimum	1.67
Maximum	5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.2 KiB

Quantile statistics

Minimum	1.67
5-th percentile	4.19
Q1	4.71
median	4.88
Q3	4.98
95-th percentile	5
Maximum	5
Range	3.33
Interquartile range (IQR)	0.27

Descriptive statistics

Standard deviation	0.3170786097
Coefficient of variation (CV)	0.06636216232
Kurtosis	15.88250222
Mean	4.778002986
Median Absolute Deviation (MAD)	0.12
Skewness	-3.302381786
Sum	28806.58
Variance	0.1005388447
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5	1353	22.4%
4.96	170	2.8%
4.92	168	2.8%
4.93	168	2.8%
4.95	156	2.6%
4.94	150	2.5%
4.97	149	2.5%
4.9	143	2.4%
4.88	142	2.4%
4.91	138	2.3%
Other values (127)	3292	54.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.67	1	< 0.1%
2	2	< 0.1%
2.25	1	< 0.1%
2.33	1	< 0.1%
2.5	7	0.1%
2.67	4	0.1%
2.75	1	< 0.1%
2.83	2	< 0.1%
3	30	0.5%
3.11	1	< 0.1%

Value	Count	Frequency (%)
5	1353	22.4%
4.99	87	1.4%
4.98	129	2.1%
4.97	149	2.5%
4.96	170	2.8%
4.95	156	2.6%
4.94	150	2.5%
4.93	168	2.8%
4.92	168	2.8%
4.91	138	2.3%

instant_bookable
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

1	4152
0	1877

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	4152	68.9%
0	1877	31.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	4152	68.9%
0	1877	31.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

reviews_per_month
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	635
Distinct (%)	10.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.54136341

Minimum	0.01
Maximum	17.72
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.2 KiB

Quantile statistics

Minimum	0.01
5-th percentile	0.06
Q1	0.38
median	1.06
Q3	2.17
95-th percentile	4.686
Maximum	17.72
Range	17.71
Interquartile range (IQR)	1.79

Descriptive statistics

Standard deviation	1.557720716
Coefficient of variation (CV)	1.010612232
Kurtosis	6.712072779
Mean	1.54136341
Median Absolute Deviation (MAD)	0.8
Skewness	1.965084849
Sum	9292.88
Variance	2.426493828
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	102	1.7%
0.04	80	1.3%
0.11	73	1.2%
0.06	73	1.2%
0.08	68	1.1%
0.1	61	1.0%
0.05	61	1.0%
0.14	57	0.9%
0.03	55	0.9%
0.09	55	0.9%
Other values (625)	5344	88.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.01	13	0.2%
0.02	36	0.6%
0.03	55	0.9%
0.04	80	1.3%
0.05	61	1.0%
0.06	73	1.2%
0.07	27	0.4%
0.08	68	1.1%
0.09	55	0.9%
0.1	61	1.0%

Value	Count	Frequency (%)
17.72	1	< 0.1%
15.25	1	< 0.1%
13.52	1	< 0.1%
11.5	1	< 0.1%
11	1	< 0.1%
10.9	1	< 0.1%
10.44	1	< 0.1%
9.92	1	< 0.1%
9.66	1	< 0.1%
9.62	1	< 0.1%

description_host
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

0	3654
1	2375

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	3654	60.6%
1	2375	39.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	3654	60.6%
1	2375	39.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

description_neighbourhood
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

0	4282
1	1747

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	4282	71.0%
1	1747	29.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	4282	71.0%
1	1747	29.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

neighbourhood_cleansed_grouped
Categorical

Distinct	12
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

Castello	1197
Cannaregio	1188
San Marco	742
Dorsoduro	490
San Polo	490
Other values (7)	1922

Length

Max length	22
Median length	9
Mean length	10.01525958
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	San Polo
2nd row	Santa Croce
3rd row	Santa Croce
4th row	San Marco
5th row	Cannaregio

Common Values

Value	Count	Frequency (%)
Castello	1197	19.9%
Cannaregio	1188	19.7%
San Marco	742	12.3%
Dorsoduro	490	8.1%
San Polo	490	8.1%
Santa Croce	432	7.2%
Other in Terraferma	366	6.1%
Piave 1860	361	6.0%
Other in Isole	265	4.4%
Lido	242	4.0%
Other values (2)	256	4.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
san	1366	14.1%
castello	1197	12.3%
cannaregio	1188	12.2%
marco	742	7.6%
other	631	6.5%
in	631	6.5%
polo	490	5.0%
dorsoduro	490	5.0%
santa	432	4.4%
croce	432	4.4%
Other values (9)	2119	21.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

host_since_years
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2012
Distinct (%)	33.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.783341702

Minimum	0.08493150685
Maximum	12.35068493
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.2 KiB

Quantile statistics

Minimum	0.08493150685
5-th percentile	1.860273973
Q1	3.690410959
median	5.835616438
Q3	7.605479452
95-th percentile	9.916712329
Maximum	12.35068493
Range	12.26575342
Interquartile range (IQR)	3.915068493

Descriptive statistics

Standard deviation	2.504023024
Coefficient of variation (CV)	0.4329716543
Kurtosis	-0.7646566549
Mean	5.783341702
Median Absolute Deviation (MAD)	1.942465753
Skewness	0.01028313058
Sum	34867.76712
Variance	6.270131307
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9.216438356	107	1.8%
3.690410959	59	1.0%
10.24109589	58	1.0%
3.452054795	42	0.7%
8.438356164	40	0.7%
7.378082192	39	0.6%
4.767123288	36	0.6%
10.79178082	34	0.6%
8.046575342	32	0.5%
8.852054795	32	0.5%
Other values (2002)	5550	92.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.08493150685	1	< 0.1%
0.1150684932	2	< 0.1%
0.1178082192	1	< 0.1%
0.1260273973	1	< 0.1%
0.1643835616	1	< 0.1%
0.1671232877	1	< 0.1%
0.1698630137	1	< 0.1%
0.1726027397	2	< 0.1%
0.1753424658	2	< 0.1%
0.1917808219	2	< 0.1%

Value	Count	Frequency (%)
12.35068493	3	< 0.1%
12.18630137	1	< 0.1%
11.47123288	1	< 0.1%
11.34246575	2	< 0.1%
11.32328767	1	< 0.1%
11.30684932	2	< 0.1%
11.0739726	2	< 0.1%
11.06027397	8	0.1%
11.05205479	3	< 0.1%
11.04931507	1	< 0.1%

first_review_years
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2032
Distinct (%)	33.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.684177616

Minimum	0.06849315068
Maximum	10.51232877
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.2 KiB

Quantile statistics

Minimum	0.06849315068
5-th percentile	0.2328767123
Q1	2.139726027
median	3.35890411
Q3	5.169863014
95-th percentile	7.485479452
Maximum	10.51232877
Range	10.44383562
Interquartile range (IQR)	3.030136986

Descriptive statistics

Standard deviation	2.13786191
Coefficient of variation (CV)	0.5802819876
Kurtosis	-0.3861942257
Mean	3.684177616
Median Absolute Deviation (MAD)	1.482191781
Skewness	0.3906147338
Sum	22211.90685
Variance	4.570453546
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.1178082192	25	0.4%
0.2328767123	24	0.4%
2.304109589	19	0.3%
3.41369863	18	0.3%
4.528767123	18	0.3%
3.416438356	18	0.3%
2.515068493	17	0.3%
5.421917808	17	0.3%
1.517808219	16	0.3%
2.342465753	16	0.3%
Other values (2022)	5841	96.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.06849315068	6	0.1%
0.07123287671	2	< 0.1%
0.07397260274	4	0.1%
0.07671232877	6	0.1%
0.07945205479	7	0.1%
0.08219178082	5	0.1%
0.08493150685	4	0.1%
0.08767123288	3	< 0.1%
0.09315068493	4	0.1%
0.09589041096	9	0.1%

Value	Count	Frequency (%)
10.51232877	1	< 0.1%
10.18356164	1	< 0.1%
10.1260274	1	< 0.1%
10.10684932	1	< 0.1%
10.09863014	1	< 0.1%
10.04383562	1	< 0.1%
9.964383562	1	< 0.1%
9.934246575	1	< 0.1%
9.909589041	2	< 0.1%
9.895890411	1	< 0.1%

last_review_years
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	1141
Distinct (%)	18.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.640241118

Minimum	0.06575342466
Maximum	10.24109589
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.2 KiB

Quantile statistics

Minimum	0.06575342466
5-th percentile	0.0904109589
Q1	0.2712328767
median	1.824657534
Q3	2.115068493
95-th percentile	4.049315068
Maximum	10.24109589
Range	10.17534247
Interquartile range (IQR)	1.843835616

Descriptive statistics

Standard deviation	1.250201506
Coefficient of variation (CV)	0.7622059294
Kurtosis	2.874273078
Mean	1.640241118
Median Absolute Deviation (MAD)	0.5479452055
Skewness	1.093646302
Sum	9889.013699
Variance	1.563003804
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.104109589	61	1.0%
0.09863013699	53	0.9%
0.1178082192	50	0.8%
0.1068493151	49	0.8%
0.1205479452	48	0.8%
1.882191781	45	0.7%
0.08493150685	44	0.7%
0.07945205479	43	0.7%
0.1561643836	41	0.7%
1.536986301	41	0.7%
Other values (1131)	5554	92.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.06575342466	13	0.2%
0.06849315068	23	0.4%
0.07123287671	35	0.6%
0.07397260274	18	0.3%
0.07671232877	39	0.6%
0.07945205479	43	0.7%
0.08219178082	41	0.7%
0.08493150685	44	0.7%
0.08767123288	23	0.4%
0.0904109589	24	0.4%

Value	Count	Frequency (%)
10.24109589	1	< 0.1%
9.268493151	1	< 0.1%
8.956164384	1	< 0.1%
8.876712329	1	< 0.1%
8.57260274	1	< 0.1%
8.219178082	1	< 0.1%
8.189041096	1	< 0.1%
8.139726027	1	< 0.1%
8.115068493	2	< 0.1%
8.068493151	1	< 0.1%

bathrooms_count
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.29673246

Minimum	1
Maximum	4
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1.5
95-th percentile	2
Maximum	4
Range	3
Interquartile range (IQR)	0.5

Descriptive statistics

Standard deviation	0.5268418303
Coefficient of variation (CV)	0.4062841385
Kurtosis	3.144087273
Mean	1.29673246
Median Absolute Deviation (MAD)	0
Skewness	1.802162049
Sum	7818
Variance	0.2775623141
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
1	4331	71.8%
2	1189	19.7%
1.5	275	4.6%
3	159	2.6%
2.5	52	0.9%
4	18	0.3%
3.5	5	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	4331	71.8%
1.5	275	4.6%
2	1189	19.7%
2.5	52	0.9%
3	159	2.6%
3.5	5	0.1%
4	18	0.3%

Value	Count	Frequency (%)
4	18	0.3%
3.5	5	0.1%
3	159	2.6%
2.5	52	0.9%
2	1189	19.7%
1.5	275	4.6%
1	4331	71.8%

amenity_hot_water
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

1	4982
0	1047

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	4982	82.6%
0	1047	17.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	4982	82.6%
0	1047	17.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

amenity_host_greets_you
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

0	3457
1	2572

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3457	57.3%
1	2572	42.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	3457	57.3%
1	2572	42.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

amenity_carbon_monoxide_alarm
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

0	4619
1	1410

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	4619	76.6%
1	1410	23.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	4619	76.6%
1	1410	23.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

amenity_cooking_basics
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

1	3956
0	2073

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
1	3956	65.6%
0	2073	34.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	3956	65.6%
0	2073	34.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

amenity_workspace
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

1	4077
0	1952

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	4077	67.6%
0	1952	32.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	4077	67.6%
0	1952	32.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

amenity_smoke_alarm
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

0	4439
1	1590

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	4439	73.6%
1	1590	26.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	4439	73.6%
1	1590	26.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

amenity_private_entrance
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

0	4100
1	1929

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	4100	68.0%
1	1929	32.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	4100	68.0%
1	1929	32.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

amenity_coffee_maker
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

1	3535
0	2494

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	3535	58.6%
0	2494	41.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	3535	58.6%
0	2494	41.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

amenity_iron
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

1	4393
0	1636

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	4393	72.9%
0	1636	27.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	4393	72.9%
0	1636	27.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

amenity_luggage_dropoff_allowed
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

0	4123
1	1906

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	4123	68.4%
1	1906	31.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	4123	68.4%
1	1906	31.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

amenity_bed_linens
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

1	3482
0	2547

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
1	3482	57.8%
0	2547	42.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	3482	57.8%
0	2547	42.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

amenity_fire_extinguisher
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

0	4413
1	1616

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	4413	73.2%
1	1616	26.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	4413	73.2%
1	1616	26.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

amenity_oven
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

0	3405
1	2624

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3405	56.5%
1	2624	43.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	3405	56.5%
1	2624	43.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

amenity_extra_pillows_and_blankets
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

0	3617
1	2412

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3617	60.0%
1	2412	40.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	3617	60.0%
1	2412	40.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

amenity_stove
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

1	3211
0	2818

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
1	3211	53.3%
0	2818	46.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	3211	53.3%
0	2818	46.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

amenity_first_aid_kit
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

0	4272
1	1757

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	4272	70.9%
1	1757	29.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	4272	70.9%
1	1757	29.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

amenity_tv
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

1	5016
0	1013

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	5016	83.2%
0	1013	16.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	5016	83.2%
0	1013	16.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

amenity_washer
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

1	4259
0	1770

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	4259	70.6%
0	1770	29.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	4259	70.6%
0	1770	29.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

amenity_shampoo
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

1	4263
0	1766

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
1	4263	70.7%
0	1766	29.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	4263	70.7%
0	1766	29.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

amenity_dishes_and_silverware
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

1	4338
0	1691

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	4338	72.0%
0	1691	28.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	4338	72.0%
0	1691	28.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

amenity_hangers
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

1	5262
0	767

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	5262	87.3%
0	767	12.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	5262	87.3%
0	767	12.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

amenity_refrigerator
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

1	4379
0	1650

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	4379	72.6%
0	1650	27.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	4379	72.6%
0	1650	27.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

amenity_kitchen
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

1	5058
0	971

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	5058	83.9%
0	971	16.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	5058	83.9%
0	971	16.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

amenity_microwave
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

1	3161
0	2868

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	3161	52.4%
0	2868	47.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	3161	52.4%
0	2868	47.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

amenity_long_term_stays_allowed
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

1	5374
0	655

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	5374	89.1%
0	655	10.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	5374	89.1%
0	655	10.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

amenity_air_conditioning
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

1	5020
0	1009

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	5020	83.3%
0	1009	16.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	5020	83.3%
0	1009	16.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

name_cleaned_length
Real number (ℝ_≥0)

Distinct	15
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.277823851

Minimum	0
Maximum	15
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	47.2 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	4
median	5
Q3	7
95-th percentile	9
Maximum	15
Range	15
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.106867978
Coefficient of variation (CV)	0.399192553
Kurtosis	-0.5003286615
Mean	5.277823851
Median Absolute Deviation (MAD)	2
Skewness	0.1426282838
Sum	31820
Variance	4.438892676
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
6	1042	17.3%
5	948	15.7%
4	872	14.5%
7	844	14.0%
3	736	12.2%
8	563	9.3%
2	560	9.3%
9	275	4.6%
1	89	1.5%
10	70	1.2%
Other values (5)	30	0.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	89	1.5%
2	560	9.3%
3	736	12.2%
4	872	14.5%
5	948	15.7%
6	1042	17.3%
7	844	14.0%
8	563	9.3%
9	275	4.6%

Value	Count	Frequency (%)
15	1	< 0.1%
13	3	< 0.1%
12	7	0.1%
11	18	0.3%
10	70	1.2%
9	275	4.6%
8	563	9.3%
7	844	14.0%
6	1042	17.3%
5	948	15.7%

description_cleaned_length
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	187
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	127.8472383

Minimum	0
Maximum	189
Zeros	48
Zeros (%)	0.8%
Negative	0
Negative (%)	0.0%
Memory size	47.2 KiB

Quantile statistics

Minimum	0
5-th percentile	37
Q1	102
median	148
Q3	158
95-th percentile	169
Maximum	189
Range	189
Interquartile range (IQR)	56

Descriptive statistics

Standard deviation	43.2820381
Coefficient of variation (CV)	0.3385449593
Kurtosis	0.326246107
Mean	127.8472383
Median Absolute Deviation (MAD)	14
Skewness	-1.198582934
Sum	770791
Variance	1873.334822
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
153	177	2.9%
155	175	2.9%
156	168	2.8%
161	166	2.8%
154	161	2.7%
157	158	2.6%
152	158	2.6%
158	156	2.6%
159	141	2.3%
160	134	2.2%
Other values (177)	4435	73.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	48	0.8%
1	1	< 0.1%
2	3	< 0.1%
3	3	< 0.1%
4	4	0.1%
5	3	< 0.1%
6	9	0.1%
7	3	< 0.1%
8	9	0.1%
10	5	0.1%

Value	Count	Frequency (%)
189	1	< 0.1%
188	1	< 0.1%
187	2	< 0.1%
186	4	0.1%
183	3	< 0.1%
182	6	0.1%
181	4	0.1%
180	6	0.1%
179	11	0.2%
178	14	0.2%

name_touristy
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.2 KiB

0	4812
1	1217

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	4812	79.8%
1	1217	20.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	4812	79.8%
1	1217	20.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	host_response_time	host_response_rate	host_acceptance_rate	host_is_superhost	host_total_listings_count	host_identity_verified	room_type	accommodates	bedrooms	beds	price	availability_30	availability_365	number_of_reviews	number_of_reviews_ltm	number_of_reviews_l30d	review_scores_rating	review_scores_accuracy	review_scores_cleanliness	instant_bookable	reviews_per_month	description_host	description_neighbourhood	neighbourhood_cleansed_grouped	host_since_years	first_review_years	last_review_years	bathrooms_count	amenity_hot_water	amenity_host_greets_you	amenity_carbon_monoxide_alarm	amenity_cooking_basics	amenity_workspace	amenity_smoke_alarm	amenity_private_entrance	amenity_coffee_maker	amenity_iron	amenity_luggage_dropoff_allowed	amenity_fire_extinguisher	amenity_oven	amenity_first_aid_kit	amenity_tv	amenity_washer	amenity_shampoo	amenity_dishes_and_silverware	amenity_hangers	amenity_refrigerator	amenity_kitchen	amenity_microwave	amenity_long_term_stays_allowed	amenity_air_conditioning	name_cleaned_length	description_cleaned_length	name_touristy
0	within_day	0.7	0.87	0	16.0	1	entire_place	4	2.0	4.0	225.0	29	351	162	0	0	4.94	4.96	4.99	0	1.55	0	0	San Polo	12.350685	8.649315	2.180822	2.0	1	1	0	0	1	0	0	0	1	1	0	0	0	1	1	1	0	1	0	1	0	1	1	5	171	1
1	within_day	0.7	0.87	0	16.0	1	entire_place	6	2.0	6.0	250.0	20	338	64	0	0	4.98	4.95	4.97	0	0.68	0	0	Santa Croce	12.350685	7.824658	5.123288	2.0	1	1	0	0	1	0	0	0	1	1	0	0	0	1	1	1	0	1	0	1	0	1	1	6	164	1
2	within_day	0.7	0.87	0	16.0	1	entire_place	4	2.0	4.0	122.0	29	364	184	0	0	4.94	4.94	4.98	0	1.54	0	0	Santa Croce	12.350685	9.868493	2.953425	2.0	1	1	0	0	1	0	0	0	1	1	0	0	0	1	1	1	0	1	0	1	0	1	1	6	155	0
3	within_hour	0.8	0.29	0	2.0	1	private_room	4	1.0	2.0	200.0	22	341	411	1	1	4.82	4.83	4.90	0	3.36	1	0	San Marco	11.342466	10.106849	1.660274	1.0	1	0	0	0	1	0	0	1	1	0	1	0	0	1	1	0	1	1	1	1	1	1	1	9	161	0
4	within_hour	1.0	1.00	1	3.0	1	entire_place	6	3.0	3.0	280.0	7	236	77	5	1	4.82	4.80	4.75	1	1.42	0	0	Cannaregio	11.323288	4.506849	1.654795	2.0	0	0	1	0	0	1	0	1	1	0	1	0	0	1	1	0	0	0	0	0	0	0	1	7	42	1
5	within_few_hours	0.8	1.00	0	12.0	1	entire_place	6	2.0	4.0	200.0	21	351	6	0	0	3.00	2.75	3.25	1	0.28	0	1	Castello	11.060274	1.824658	8.139726	2.0	1	1	0	0	1	0	1	0	0	0	0	0	0	1	0	1	0	1	0	1	0	0	1	5	138	0
6	within_few_hours	0.8	1.00	0	12.0	1	entire_place	6	2.0	2.0	210.0	17	335	61	2	0	4.10	4.42	4.36	1	0.70	0	1	San Marco	11.060274	7.230137	1.893151	2.0	1	0	0	0	1	0	1	0	0	0	0	0	0	1	0	1	0	1	0	1	0	0	1	4	149	1
7	within_hour	1.0	1.00	1	4.0	1	hotel_room	2	1.0	1.0	65.0	14	334	279	8	3	4.92	4.94	4.99	1	2.28	0	0	San Polo	11.016438	10.126027	0.136986	1.0	1	1	0	0	1	0	0	1	1	1	1	0	1	1	0	1	0	1	1	0	0	1	1	8	157	0
8	within_hour	1.0	1.00	1	2.0	1	entire_place	5	3.0	3.0	136.0	0	0	145	0	0	4.80	4.92	4.86	1	1.22	0	0	Dorsoduro	11.013699	9.832877	1.616438	2.0	0	0	0	0	1	0	0	0	1	0	1	0	1	1	1	1	0	1	0	1	0	1	1	3	162	0
9	within_hour	1.0	1.00	1	3.0	1	entire_place	3	2.0	2.0	105.0	13	348	79	7	3	4.81	4.83	4.82	1	0.95	1	0	Dorsoduro	10.986301	6.898630	2.189041	1.0	1	1	0	1	1	0	0	1	1	0	0	1	0	1	0	0	1	1	1	1	1	1	1	3	168	0

Last rows

	host_response_time	host_response_rate	host_acceptance_rate	host_is_superhost	host_total_listings_count	host_identity_verified	room_type	accommodates	bedrooms	beds	price	availability_30	availability_365	number_of_reviews	number_of_reviews_ltm	number_of_reviews_l30d	review_scores_rating	review_scores_accuracy	review_scores_cleanliness	instant_bookable	reviews_per_month	description_host	description_neighbourhood	neighbourhood_cleansed_grouped	host_since_years	first_review_years	last_review_years	bathrooms_count	amenity_hot_water	amenity_host_greets_you	amenity_cooking_basics	amenity_workspace	amenity_smoke_alarm	amenity_private_entrance	amenity_coffee_maker	amenity_iron	amenity_luggage_dropoff_allowed	amenity_bed_linens	amenity_fire_extinguisher	amenity_oven	amenity_extra_pillows_and_blankets	amenity_stove	amenity_first_aid_kit	amenity_tv	amenity_washer	amenity_shampoo	amenity_dishes_and_silverware	amenity_hangers	amenity_refrigerator	amenity_kitchen	amenity_microwave	amenity_long_term_stays_allowed	amenity_air_conditioning	name_cleaned_length	description_cleaned_length	name_touristy
6019	within_hour	1.00	0.72	0	0.0	1	private_room	2	1.0	1.0	40.0	21	330	1	1	1	5.0	5.0	5.0	0	1.0	1	1	Piave 1860	0.191781	0.104110	0.104110	1.0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	1	4	82	0
6020	within_hour	0.94	0.98	0	17.0	1	entire_place	4	1.0	1.0	106.0	6	6	3	3	3	5.0	5.0	5.0	1	3.0	0	1	San Polo	5.271233	0.104110	0.120548	1.0	1	0	1	0	0	0	1	0	0	1	0	1	0	1	0	1	0	1	1	0	1	1	0	1	1	3	176	0
6021	within_few_hours	1.00	1.00	0	0.0	1	entire_place	4	2.0	4.0	180.0	6	326	1	1	1	5.0	5.0	5.0	0	1.0	1	1	Santa Croce	0.126027	0.084932	0.084932	2.0	1	1	1	0	0	1	1	1	0	1	0	1	0	1	0	1	1	0	1	0	1	1	1	1	1	4	0	0
6022	within_hour	1.00	1.00	1	5.0	1	private_room	2	1.0	1.0	81.0	6	318	6	6	6	5.0	5.0	5.0	1	6.0	0	0	San Marco	6.424658	0.098630	0.109589	1.0	1	0	0	1	0	0	0	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	1	1	5	100	0
6023	within_day	0.91	1.00	0	0.0	1	private_room	1	1.0	1.0	47.0	11	66	2	2	2	4.5	4.5	4.0	1	2.0	1	0	Other in Isole	0.117808	0.098630	0.082192	1.0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	2	148	0
6024	within_hour	1.00	1.00	0	0.0	1	entire_place	4	1.0	4.0	179.0	30	329	1	1	1	5.0	5.0	5.0	0	1.0	0	0	Dorsoduro	0.115068	0.087671	0.087671	2.0	1	0	1	1	0	0	1	1	0	1	0	1	1	1	1	0	1	1	1	1	1	1	1	1	1	2	153	0
6025	missing	NaN	NaN	0	0.0	1	entire_place	4	1.0	2.0	92.0	14	164	1	1	1	5.0	5.0	5.0	0	1.0	0	0	San Polo	0.115068	0.076712	0.076712	1.0	1	1	1	1	0	0	1	1	0	1	0	1	1	1	0	1	1	0	1	1	1	1	0	1	1	7	161	1
6026	within_hour	0.99	0.97	0	100.0	1	entire_place	2	1.0	1.0	93.0	0	177	1	1	1	3.0	2.0	3.0	1	1.0	0	1	Cannaregio	10.791781	0.098630	0.098630	1.0	1	0	1	0	0	0	1	1	0	1	0	1	0	1	0	1	0	1	1	0	1	1	1	1	1	7	161	0
6027	within_hour	0.89	1.00	0	4.0	1	private_room	1	1.0	1.0	30.0	25	340	1	1	1	5.0	5.0	5.0	1	1.0	1	1	San Lorenzo XXV Aprile	0.172603	0.093151	0.093151	1.0	1	0	0	0	1	0	0	0	1	0	1	0	0	0	0	1	0	1	0	0	0	0	0	1	1	7	91	0
6028	missing	NaN	1.00	0	0.0	1	private_room	2	1.0	1.0	35.0	19	354	1	1	1	4.0	4.0	5.0	0	1.0	1	1	Piave 1860	0.084932	0.071233	0.071233	1.0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	6	36	0

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script